LSTM-pinyin2ch | seq2seq PinYin to Chinese translator | Translation library

 by   yistLin Python Version: Current License: No License

kandi X-RAY | LSTM-pinyin2ch Summary

kandi X-RAY | LSTM-pinyin2ch Summary

LSTM-pinyin2ch is a Python library typically used in Utilities, Translation, Neural Network applications. LSTM-pinyin2ch has no bugs, it has no vulnerabilities and it has low support. However LSTM-pinyin2ch build file is not available. You can download it from GitHub.

seq2seq PinYin to Chinese translator

            kandi-support Support

              LSTM-pinyin2ch has a low active ecosystem.
              It has 7 star(s) with 4 fork(s). There are 5 watchers for this library.
              It had no major release in the last 6 months.
              LSTM-pinyin2ch has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LSTM-pinyin2ch is current.

            kandi-Quality Quality

              LSTM-pinyin2ch has no bugs reported.

            kandi-Security Security

              LSTM-pinyin2ch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              LSTM-pinyin2ch does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              LSTM-pinyin2ch releases are not available. You will need to build from source code and install.
              LSTM-pinyin2ch has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LSTM-pinyin2ch and discovered the below as its top functions. This is intended to give you an instant insight into LSTM-pinyin2ch implemented functionality, and help decide if they suit your requirements.
            • Returns the next batch
            • Compute one - hot encoded batch
            • Gets all outputs
            • Get all hidden states
            • Sample from prediction
            • Sample a distribution from a distribution
            • Computes the log probability of each prediction
            • Return random distribution
            • Return a list of characters from probabilities
            Get all kandi verified functions for this library.

            LSTM-pinyin2ch Key Features

            No Key Features are available at this moment for LSTM-pinyin2ch.

            LSTM-pinyin2ch Examples and Code Snippets

            No Code Snippets are available at this moment for LSTM-pinyin2ch.

            Community Discussions


            Wide charectar in print for some Farsi text, but not others
            Asked 2022-Apr-09 at 02:33

            I'm using Google Translate to convert some error codes into Farsi with Perl. Farsi is one such example, I've also found this issue in other languages---but for this discussion I'll stick to the single example:

            The translated text of "Geometry data card error" works fine (Example 1) but translating "Appending a default 111 card" (Example 2) gives the "Wide character" error.

            Both examples can be run from the terminal, they are just prints.

            I've tried the usual things like these, but to no avail:



            Answered 2022-Apr-09 at 02:05

            The JSON object needs to have utf8 enabled and it will fix the \u200c. Thanks to @Shawn for pointing me in the right direction:



            Translate python not auto detecting language properly
            Asked 2022-Mar-26 at 20:09

            I am currently using the translate module for this (



            Answered 2022-Mar-26 at 20:09

            Well, I did a workaround which solves my issue but doesn't solve the autodetect issue. Adding a second argument in the user input to include the "from_lang" fixes the issue.



            How can I detect text language with flutter
            Asked 2022-Jan-19 at 12:23

            I need a package that detects and returns the text language. Do you have a flutter package recommendation for this? If you know of any other method besides the packages, I'd be happy to hear it.



            Answered 2021-Aug-23 at 17:17

            I had a small search in to check if there is any new lib to do this, but I didn't find it.

            However, I recommend you use google API which receives the text and returns the language type.

            You can check it in: google-detecting-language

            A sample from the website you can check: body POST:



            "HTTPError: HTTP Error 404: Not Found" while using translation function in TextBlob
            Asked 2022-Jan-15 at 00:44

            When I try to use translate function in TextBlob library in jupyter notebook, I get:



            Answered 2021-Sep-28 at 19:54

            Textblob library uses Google API for translation functionality in the backend. Google has made some changes in the its API recently. Due to this reason TextBlob's translation feature has stopped working. I noticed that by making some minor changes in file (in your folder where all TextBlob files are located) as mentioned below, we can get rid of this error:

            original code:



            Generic tree with UNIQUE generic nodes
            Asked 2022-Jan-08 at 10:44
            Problem description

            I have a generic tree with generic nodes. You can think about it like it is a extended router config with multi-level children elements.

            The catch is, that each node can have other generic type that its parent (more details - Typescript Playground).

            So when node has children, the problem is lying in typing its nodes generics.

            Code ...


            Answered 2022-Jan-08 at 02:23

            Your problem with pageData interface is the parent T is the same type required by the children. What you want is to open up the generic type to accommodate any record therefor allowing the children to define their own properties.



            Can you use a key containing a dot (".") in i18next interpolation?
            Asked 2022-Jan-06 at 13:43

            Is it possible to interpolate with a key containing a "." in i18n?

            i.e. get this to work:



            Answered 2022-Jan-06 at 13:43

            No, dot in a property name for interpolation is used as json dot notation. So if you want to keep "Hi {{}}" in your translations, you need to pass in the t options like this: i18next.t('keyk', { first: { name: 'Jane' } })



            Sonata Admin - how to add Translation to one field and getID of the object?
            Asked 2021-Dec-26 at 13:35

            My code:



            Answered 2021-Dec-26 at 13:35


            django translation get_language returns default language in detail api view
            Asked 2021-Oct-26 at 15:47

            this is the api which sets language when user selects some language this works fine.



            Answered 2021-Oct-26 at 15:47

            Your viewset is defined as:



            Tensorflow "Transformer model for language understanding" with another Dataset?
            Asked 2021-Oct-11 at 23:08

            I have been reading the official guide here ( to try and recreate the Vanilla Transformer in Tensorflow. I notice the dataset used is quite specific, and at the end of the guide, it says to try with a different dataset.

            But that is where I have been stuck for a long time! I am trying to use the WMT14 dataset (as used in the original paper, Vaswani et. al.) here: .

            I have also tried Multi30k and IWSLT dataset from Spacy, but are there any guides on how I can fit the dataset to what the model requires? Specifically, to tokenize it. The official TF guide uses a pretrained tokenizer, which is specific to the PR-EN dataset given.



            Answered 2021-Oct-11 at 23:00

            You can build your own tokenizer following this tutorial

            It is the exact same way they build the ted_hrlr_translate_pt_en_converter tokenizer in the transformers example, you just need to adjust it to your language.

            I rewrote it for your case but didn't test it:



            Bert model output interpretation
            Asked 2021-Aug-17 at 16:04

            I searched a lot for this but havent still got a clear idea so I hope you can help me out:

            I am trying to translate german texts to english! I udes this code:



            Answered 2021-Aug-17 at 13:27

            I think one possible answer to your dilemma is provided in this question:,there%20are%20doubts%20if%20it%20really%20pays%20off.

            Practically with the output of BERT, you get a vectorized representation for each of your words. In essence, it is easier to use the output for other tasks, but trickier in the case of Machine Translation.

            A good starting point of using a seq2seq model from the transformers library in the context of machine translation is the following:

            The example above provides how to translate from English to Romanian.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install LSTM-pinyin2ch

            You can download it from GitHub.
            You can use LSTM-pinyin2ch like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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